Synthesis design of artificial magnetic metamaterials using a genetic algorithm.

Full Abstract

In this article, we present a genetic algorithm (GA) as one branch of artificial intelligence (AI) for the optimization-design of the artificial magnetic metamaterial whose structure is automatically generated by computer through the filling element methodology. A representative design example, metamaterials with permeability of negative unity, is investigated and the optimized structures found by the GA are presented. It is also demonstrated that our approach is effective for the synthesis of functional magnetic and electric metamaterials with optimal structures. This GA-based optimization-design technique shows great versatility and applicability in the design of functional metamaterials.

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Author information

Author/s: Chen, P Y (PY); Chen, C H (CH); Wang, H (H); Tsai, J H (JH); Ni, W X (WX);

Affiliation: National Nano Device Laboratories, Hsinchu 30078, Taiwan ROC. pychen(-atsign-)mail.ndl.org.tw

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Optics express (Opt Express), published in United States. (Language: eng)

Reference: 2008-Aug; vol 16 (issue 17) : pp 12806-18

Dates: Created 2008/08/19; Completed 2008/10/06;

PMID: 18711520, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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